Deep cross entropy fusion for pulmonary nodule classification based on ultrasound Imagery

Deep cross entropy fusion for pulmonary nodule classification based on ultrasound Imagery

IntroductionAccurate differentiation of benign and malignant pulmonary nodules in ultrasound remains a clinical challenge due to insufficient diagnostic precision. We propose the Deep Cross-Entropy Fusion (DCEF) model to enhance classification accuracy.MethodsA retrospective dataset of 135 patients...

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Bibliographic Details
Main Authors: Xian Wang, Ziou Zhao, Donggang Pan, Hui Zhou, Jie Hou, Hui Sun, Xiangjun Shen, Sumet Mehta, Wei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Oncology
Subjects:
pulmonary nodule classification
deep learning
ultrasound imagery
convolutional neural networks
cross-entropy fusion
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1514779/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1514779/full

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